创建组件识别数据的方法.pdf - 第164页
164/178 IM-SMT-VSNDI C-0002 -000 Based on the resu lt, add +9 0°, +180° or +270° to the t ilt of the com ponent and set the value. T able 1 10 is th e example of the direction det erm ination. Figure 133 is the res ult o…
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Figure 132
2.12.5-1. Special recognition of the Center of Gravity detection
(1) Special 1: Not supported (Check of the average brightness within the objects)
(2) Special 2: Not supported (Check of the average brightness within the objects)
(3) Special 3: Check Direction: The direction is determined based on the brightness of the
specified circular region. (*This needs to be custom-ordered.)
Option 1: Recognition flag
Option 2: Min. Brightness Difference (If the value is 0, 50 is set)
If the difference of the average brightness of the detected circle is smaller
than the value specified here, it is determined to be an error.
Option 3: Cut Inner Noise
Option4: Cut Outer Noise
The detection circle is set for the Lead Group 1 in the N direction in order to determine
the direction.
- Lead Group: 1
- Lead Number: 0
- Reflect LL: 0
- Lead width: Diameter of detection circle (mm)
- Lead pitch: 0
- Find Pos. X: Detection circle center position X
- Find Pos. Y: Detection circle center position Y
Bit position
Check Type:
(0:Black, 1 White)
0: (0°, 90°), 1: (0°, 90°, 180°, 270°)
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Based on the result, add +90°, +180° or +270° to the tilt of the component and set the
value.
Table 110 is the example of the direction determination. Figure 133 is the result of the
recognition with the data in Table 110. The figure on the left in Figure 133 is the
recognition result obtained from the definition. The figure on the right in Figure 133 is the
recognition result of the 180 degrees rotated component.
Items to be set Set value
Alignment Group Special
Alignment Type Special
Comp. Threshold 0
Comp. Tolerance 30
Search Area (mm) 3.0
Body Size X (mm) 5
Body Size Y (mm) 9
Body Size Z (mm) 1.0
Cntr. Offset X (mm) 0.0
Cntr. Offset Y (mm) 0.0
Cntr. Offset R (mm) 0.0
Ruler Width 1
Algorithm Special 4
Base Alignment
Vision Option 1 0
Vision Option 2 0
Vision Option 3 0
Common
Data
Vision Option 4 0
Lead Group N 1
Common
Ruler Offset N 0
Lead Number: 1N 0
Reflect LL.: 1N (mm) 0.0
Lead Width: 1N (mm) 0.8
Lead Pitch: 1N (mm) 0.0
Find Pos X: 1N (mm) 0.0
N
direction
Group
1
Find Pos Y: 1N (mm) 3.0
Table 110
Figure 133
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The circular shapes on the figures in
Figure 133
indicate the direction check range, and
indicate whether the range was brighter or darker comparing to the rotated check range.
In the example, the value “0” is set to “Vision Option2”, so the difference in brightness
between the check range has to be at least 50.
3. Fiducial Mark Recognition
There are several methods that can be used for fiducial mark recognition. These can be
selected from those noted in Table 111 based on the values specified for the recognition
type and shape type.
Circle
Square/
Rectangle
Triangle
Sp.Shape
Corner TopEdge
CirEdge*
Normal
Center of
gravity
detection
Center of
gravity
detection
Center of
gravity
detection
Center of
gravity
detection
Corner
detection
Tip
detection
Contour
circle
detection
Special 1
Contour
circle
detection
Contour
square
Contour
triangle
Center of
gravity
detection
Corner
detection
Tip
detection
Contour
circle
detection
Special 2
Edge
circle
detection
Edge
square
Edge
triangle
Center of
gravity
detection
Corner
detection
Tip
detection
Edge
circle
detection
PTRN
Outline
Matching
1
Matching
1
Matching
1
Matching
1
Matching
1
Matching
1
Matching
1
PTRN
GrayLev
Matching
2
Matching
2
Matching
2
Matching
2
Matching
2
Matching
2
Matching
2
PTRN*
Whole
Matching
3
Matching
3
Matching
3
Matching
3
Matching
3
Matching
3
Matching
3
Table 111
Note*:
“Cir Edge” and “PTRN Whole” may not be available for some machine series and software
versions.
3.1. Center of Gravity detection (Recognition type: Normal)
The mark contour is determined, and then the center of the mark is determined from the
center of gravity position of the contour. If there is a projection or a dent, it affects the
detection position. However, the “hole” inside the contour does not affect the recognition
result.
Figure 134
The contour is
detected.